{"id":"W4309681962","doi":"10.1101/2022.11.21.516512","title":"Expanding the Huntington’s disease research toolbox; validated subdomain protein constructs for biochemical and structural investigation of huntingtin","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Structural Genomics Consortium; University of Toronto","funders":"Genentech; Ontario Genomics; National Institutes of Health; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Genome Canada; Bayer; CHDI Foundation; McGill University; Pfizer; Bristol-Myers Squibb","keywords":"Huntingtin; CTD; Huntingtin Protein; Computational biology; Protein–protein interaction; Biology; Trinucleotide repeat expansion; Chemistry; Huntington's disease; Recombinant DNA; Cell biology; Biophysics; Genetics; Gene; Mutant; Disease; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007779039,0.0004978317,0.0002641316,0.0002551482,0.0001930425,0.0003888336,0.0003692853,0.0003712989,0.0008045419],"category_scores_gemma":[0.0003429912,0.0002111525,0.0003102962,0.000298417,0.0002892069,0.0002259582,0.0003753089,0.0007301185,0.0005434702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003636483,"about_ca_system_score_gemma":0.0002207863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004671793,"about_ca_topic_score_gemma":0.0007142172,"domain_scores_codex":[0.9998,0.00005890235,0.00003018064,0.00003109503,0.00005973831,0.00002018391],"domain_scores_gemma":[0.9997011,0.00008769215,0.00006572519,0.00005927445,0.00004372671,0.0000424041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000393803,0.00002230098,0.00008690863,0.00001921693,0.000003387176,0.00002956488,0.00001749169,0.0001859426,0.9989767,0.0001431971,0.00002403851,0.0004518499],"study_design_scores_gemma":[0.00002380394,0.0001898933,0.001247952,0.000009268027,0.00001171657,0.0002050225,0.00002079934,0.002071737,0.9919624,0.00009015773,0.00416063,0.000006764746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439059,0.0007529037,0.05273801,0.0001584045,0.00004637114,0.0002333234,0.001253448,0.000149414,0.0007621754],"genre_scores_gemma":[0.9291112,0.0007448468,0.06401936,0.00006664635,0.0000131798,0.0002334197,0.003084917,0.0001106904,0.002615713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008045419,"threshold_uncertainty_score":0.004113972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04960351316988296,"score_gpt":0.2942459188124646,"score_spread":0.2446424056425816,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}